Overview

Brought to you by YData

Dataset statistics

Number of variables38
Number of observations8886
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory159.7 B

Variable types

Numeric10
Categorical2
Boolean26

Alerts

estado_civil_CASADO is highly overall correlated with estado_civil_SOLTEROHigh correlation
estado_civil_SOLTERO is highly overall correlated with estado_civil_CASADOHigh correlation
estado_cliente_ACTIVO is highly overall correlated with estado_cliente_PASIVO and 2 other fieldsHigh correlation
estado_cliente_PASIVO is highly overall correlated with estado_cliente_ACTIVO and 2 other fieldsHigh correlation
falta_pago_N is highly overall correlated with estado_cliente_ACTIVO and 3 other fieldsHigh correlation
falta_pago_Y is highly overall correlated with estado_cliente_ACTIVO and 3 other fieldsHigh correlation
gastos_ult_12m is highly overall correlated with operaciones_ult_12mHigh correlation
genero_F is highly overall correlated with genero_MHigh correlation
genero_M is highly overall correlated with genero_FHigh correlation
operaciones_ult_12m is highly overall correlated with gastos_ult_12mHigh correlation
situacion_vivienda_ALQUILER is highly overall correlated with situacion_vivienda_HIPOTECAHigh correlation
situacion_vivienda_HIPOTECA is highly overall correlated with situacion_vivienda_ALQUILERHigh correlation
tasa_interes is highly overall correlated with falta_pago_N and 1 other fieldsHigh correlation
situacion_vivienda_OTROS is highly imbalanced (96.3%) Imbalance
situacion_vivienda_PROPIA is highly imbalanced (63.8%) Imbalance
objetivo_credito_MEJORAS_HOGAR is highly imbalanced (57.6%) Imbalance
estado_civil_DESCONOCIDO is highly imbalanced (62.2%) Imbalance
estado_civil_DIVORCIADO is highly imbalanced (61.7%) Imbalance
nivel_educativo_POSGRADO_COMPLETO is highly imbalanced (72.9%) Imbalance
nivel_educativo_POSGRADO_INCOMPLETO is highly imbalanced (70.6%) Imbalance
id_cliente has unique values Unique
antiguedad_empleado has 1276 (14.4%) zeros Zeros
personas_a_cargo has 787 (8.9%) zeros Zeros

Reproduction

Analysis started2025-05-13 17:31:36.663418
Analysis finished2025-05-13 17:31:43.394636
Duration6.73 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

id_cliente
Real number (ℝ)

Unique 

Distinct8886
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3914871 × 108
Minimum7.0808208 × 108
Maximum8.2834308 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size396.9 KiB
2025-05-13T17:31:43.438380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7.0808208 × 108
5-th percentile7.0909865 × 108
Q17.1299396 × 108
median7.1795381 × 108
Q37.7293205 × 108
95-th percentile8.1446895 × 108
Maximum8.2834308 × 108
Range1.20261 × 108
Interquartile range (IQR)59938088

Descriptive statistics

Standard deviation36879505
Coefficient of variation (CV)0.049894568
Kurtosis-0.60910555
Mean7.3914871 × 108
Median Absolute Deviation (MAD)6425362.5
Skewness0.99639393
Sum6.5680754 × 1012
Variance1.3600979 × 1015
MonotonicityNot monotonic
2025-05-13T17:31:43.498036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
768805383 1
 
< 0.1%
712399308 1
 
< 0.1%
807722658 1
 
< 0.1%
757224108 1
 
< 0.1%
719630358 1
 
< 0.1%
816091608 1
 
< 0.1%
819684183 1
 
< 0.1%
820848408 1
 
< 0.1%
711338058 1
 
< 0.1%
714368883 1
 
< 0.1%
Other values (8876) 8876
99.9%
ValueCountFrequency (%)
708082083 1
< 0.1%
708083283 1
< 0.1%
708084558 1
< 0.1%
708085458 1
< 0.1%
708086958 1
< 0.1%
708095133 1
< 0.1%
708098133 1
< 0.1%
708099183 1
< 0.1%
708100533 1
< 0.1%
708103608 1
< 0.1%
ValueCountFrequency (%)
828343083 1
< 0.1%
828298908 1
< 0.1%
828294933 1
< 0.1%
828291858 1
< 0.1%
828288333 1
< 0.1%
828281733 1
< 0.1%
828236133 1
< 0.1%
828227433 1
< 0.1%
828215508 1
< 0.1%
827968383 1
< 0.1%

duracion_credito
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size396.9 KiB
2
2997 
3
2946 
4
2943 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters8886
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row4
4th row2
5th row3

Common Values

ValueCountFrequency (%)
2 2997
33.7%
3 2946
33.2%
4 2943
33.1%

Length

2025-05-13T17:31:43.538882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-13T17:31:43.563190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2 2997
33.7%
3 2946
33.2%
4 2943
33.1%

Most occurring characters

ValueCountFrequency (%)
2 2997
33.7%
3 2946
33.2%
4 2943
33.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8886
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 2997
33.7%
3 2946
33.2%
4 2943
33.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8886
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 2997
33.7%
3 2946
33.2%
4 2943
33.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8886
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 2997
33.7%
3 2946
33.2%
4 2943
33.1%

antiguedad_empleado
Real number (ℝ)

Zeros 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9050191
Minimum0
Maximum11
Zeros1276
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size396.9 KiB
2025-05-13T17:31:43.589644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile9
Maximum11
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.8433464
Coefficient of variation (CV)0.72812611
Kurtosis-0.90259749
Mean3.9050191
Median Absolute Deviation (MAD)2
Skewness0.32412632
Sum34700
Variance8.0846186
MonotonicityNot monotonic
2025-05-13T17:31:43.617198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1276
14.4%
2 1159
13.0%
3 1038
11.7%
5 967
10.9%
6 921
10.4%
1 910
10.2%
4 773
8.7%
7 706
7.9%
8 526
5.9%
9 368
 
4.1%
Other values (2) 242
 
2.7%
ValueCountFrequency (%)
0 1276
14.4%
1 910
10.2%
2 1159
13.0%
3 1038
11.7%
4 773
8.7%
5 967
10.9%
6 921
10.4%
7 706
7.9%
8 526
5.9%
9 368
 
4.1%
ValueCountFrequency (%)
11 23
 
0.3%
10 219
 
2.5%
9 368
 
4.1%
8 526
5.9%
7 706
7.9%
6 921
10.4%
5 967
10.9%
4 773
8.7%
3 1038
11.7%
2 1159
13.0%

ingresos
Real number (ℝ)

Distinct1619
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50953.815
Minimum9600
Maximum500000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size396.9 KiB
2025-05-13T17:31:43.657016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9600
5-th percentile21000
Q134000
median47000
Q360000
95-th percentile97000
Maximum500000
Range490400
Interquartile range (IQR)26000

Descriptive statistics

Standard deviation28926.197
Coefficient of variation (CV)0.56769442
Kurtosis21.0265
Mean50953.815
Median Absolute Deviation (MAD)13000
Skewness3.3549275
Sum4.527756 × 108
Variance8.3672486 × 108
MonotonicityNot monotonic
2025-05-13T17:31:43.703272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60000 386
 
4.3%
30000 313
 
3.5%
50000 304
 
3.4%
40000 242
 
2.7%
45000 217
 
2.4%
55000 201
 
2.3%
65000 197
 
2.2%
48000 194
 
2.2%
36000 185
 
2.1%
42000 176
 
2.0%
Other values (1609) 6471
72.8%
ValueCountFrequency (%)
9600 3
 
< 0.1%
9840 1
 
< 0.1%
9900 1
 
< 0.1%
9960 1
 
< 0.1%
10000 9
0.1%
10560 1
 
< 0.1%
10668 1
 
< 0.1%
10800 3
 
< 0.1%
10980 1
 
< 0.1%
11000 3
 
< 0.1%
ValueCountFrequency (%)
500000 1
 
< 0.1%
306000 1
 
< 0.1%
300000 6
0.1%
287000 1
 
< 0.1%
280000 1
 
< 0.1%
277104 1
 
< 0.1%
275000 1
 
< 0.1%
260000 1
 
< 0.1%
259000 1
 
< 0.1%
255000 1
 
< 0.1%

pct_ingreso
Real number (ℝ)

Distinct69
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17527909
Minimum0.01
Maximum0.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size396.9 KiB
2025-05-13T17:31:43.747061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.04
Q10.09
median0.15
Q30.23
95-th percentile0.39
Maximum0.77
Range0.76
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.10802033
Coefficient of variation (CV)0.61627618
Kurtosis1.1237917
Mean0.17527909
Median Absolute Deviation (MAD)0.07
Skewness1.0586754
Sum1557.53
Variance0.011668391
MonotonicityNot monotonic
2025-05-13T17:31:43.802775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 463
 
5.2%
0.13 406
 
4.6%
0.09 391
 
4.4%
0.11 387
 
4.4%
0.08 386
 
4.3%
0.15 380
 
4.3%
0.12 352
 
4.0%
0.14 348
 
3.9%
0.07 346
 
3.9%
0.17 335
 
3.8%
Other values (59) 5092
57.3%
ValueCountFrequency (%)
0.01 17
 
0.2%
0.02 82
 
0.9%
0.03 199
2.2%
0.04 249
2.8%
0.05 262
2.9%
0.06 304
3.4%
0.07 346
3.9%
0.08 386
4.3%
0.09 391
4.4%
0.1 463
5.2%
ValueCountFrequency (%)
0.77 1
 
< 0.1%
0.71 1
 
< 0.1%
0.69 2
< 0.1%
0.68 1
 
< 0.1%
0.67 1
 
< 0.1%
0.65 2
< 0.1%
0.64 3
< 0.1%
0.63 3
< 0.1%
0.61 2
< 0.1%
0.6 2
< 0.1%

tasa_interes
Real number (ℝ)

High correlation 

Distinct306
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.019315
Minimum5.42
Maximum22.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size396.9 KiB
2025-05-13T17:31:43.851215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5.42
5-th percentile6.03
Q17.9
median10.99
Q313.47
95-th percentile16.29
Maximum22.11
Range16.69
Interquartile range (IQR)5.57

Descriptive statistics

Standard deviation3.1942524
Coefficient of variation (CV)0.28987759
Kurtosis-0.70274802
Mean11.019315
Median Absolute Deviation (MAD)2.5
Skewness0.18470354
Sum97917.63
Variance10.203248
MonotonicityNot monotonic
2025-05-13T17:31:43.898382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.99 252
 
2.8%
7.51 227
 
2.6%
7.9 189
 
2.1%
7.49 187
 
2.1%
7.88 173
 
1.9%
5.42 171
 
1.9%
9.99 148
 
1.7%
11.49 143
 
1.6%
13.49 132
 
1.5%
11.71 132
 
1.5%
Other values (296) 7132
80.3%
ValueCountFrequency (%)
5.42 171
1.9%
5.79 106
1.2%
5.99 112
1.3%
6 6
 
0.1%
6.03 121
1.4%
6.17 59
 
0.7%
6.39 14
 
0.2%
6.54 71
0.8%
6.62 116
1.3%
6.76 61
 
0.7%
ValueCountFrequency (%)
22.11 1
< 0.1%
21.74 2
< 0.1%
21.36 1
< 0.1%
21.27 1
< 0.1%
21.21 1
< 0.1%
20.89 2
< 0.1%
20.62 1
< 0.1%
20.3 2
< 0.1%
20.25 1
< 0.1%
20.2 1
< 0.1%

estado_credito
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size396.9 KiB
0
6717 
1
2169 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters8886
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 6717
75.6%
1 2169
 
24.4%

Length

2025-05-13T17:31:43.938209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-13T17:31:43.957053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 6717
75.6%
1 2169
 
24.4%

Most occurring characters

ValueCountFrequency (%)
0 6717
75.6%
1 2169
 
24.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8886
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 6717
75.6%
1 2169
 
24.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8886
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 6717
75.6%
1 2169
 
24.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8886
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 6717
75.6%
1 2169
 
24.4%

antiguedad_cliente
Real number (ℝ)

Distinct44
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.890389
Minimum13
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size396.9 KiB
2025-05-13T17:31:43.987441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile22
Q131
median36
Q340
95-th percentile50
Maximum56
Range43
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.9972367
Coefficient of variation (CV)0.22282391
Kurtosis0.41097552
Mean35.890389
Median Absolute Deviation (MAD)4
Skewness-0.10172119
Sum318922
Variance63.955795
MonotonicityNot monotonic
2025-05-13T17:31:44.026231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
36 2125
23.9%
37 317
 
3.6%
34 313
 
3.5%
38 305
 
3.4%
40 304
 
3.4%
39 302
 
3.4%
31 296
 
3.3%
33 278
 
3.1%
35 272
 
3.1%
30 262
 
2.9%
Other values (34) 4112
46.3%
ValueCountFrequency (%)
13 63
0.7%
14 15
 
0.2%
15 29
 
0.3%
16 28
 
0.3%
17 35
 
0.4%
18 49
0.6%
19 55
0.6%
20 68
0.8%
21 75
0.8%
22 93
1.0%
ValueCountFrequency (%)
56 94
1.1%
55 36
 
0.4%
54 48
 
0.5%
53 65
0.7%
52 56
 
0.6%
51 70
0.8%
50 83
0.9%
49 127
1.4%
48 137
1.5%
47 145
1.6%

gastos_ult_12m
Real number (ℝ)

High correlation 

Distinct4718
Distinct (%)53.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4428.7326
Minimum510
Maximum18484
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size396.9 KiB
2025-05-13T17:31:44.063352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum510
5-th percentile1289
Q12164
median3912.5
Q34747.75
95-th percentile14230
Maximum18484
Range17974
Interquartile range (IQR)2583.75

Descriptive statistics

Standard deviation3426.1702
Coefficient of variation (CV)0.77362317
Kurtosis3.8101029
Mean4428.7326
Median Absolute Deviation (MAD)1313
Skewness2.0306788
Sum39353718
Variance11738642
MonotonicityNot monotonic
2025-05-13T17:31:44.111566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4509 10
 
0.1%
4253 10
 
0.1%
2229 9
 
0.1%
4518 9
 
0.1%
4275 8
 
0.1%
1731 8
 
0.1%
4313 8
 
0.1%
4674 8
 
0.1%
4037 8
 
0.1%
4042 8
 
0.1%
Other values (4708) 8800
99.0%
ValueCountFrequency (%)
510 1
< 0.1%
530 1
< 0.1%
563 1
< 0.1%
569 1
< 0.1%
594 1
< 0.1%
596 1
< 0.1%
597 1
< 0.1%
615 1
< 0.1%
643 1
< 0.1%
644 1
< 0.1%
ValueCountFrequency (%)
18484 1
< 0.1%
17995 1
< 0.1%
17744 1
< 0.1%
17634 1
< 0.1%
17628 1
< 0.1%
17498 1
< 0.1%
17437 1
< 0.1%
17390 1
< 0.1%
17350 1
< 0.1%
17258 1
< 0.1%

limite_credito_tc
Real number (ℝ)

Distinct5673
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8609.0708
Minimum1438.3
Maximum34516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size396.9 KiB
2025-05-13T17:31:44.155869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1438.3
5-th percentile1438.3
Q12548
median4547
Q311054.75
95-th percentile34516
Maximum34516
Range33077.7
Interquartile range (IQR)8506.75

Descriptive statistics

Standard deviation9064.9423
Coefficient of variation (CV)1.0529525
Kurtosis1.8428889
Mean8609.0708
Median Absolute Deviation (MAD)2601
Skewness1.672591
Sum76500203
Variance82173178
MonotonicityNot monotonic
2025-05-13T17:31:44.201066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1438.3 453
 
5.1%
34516 449
 
5.1%
15987 18
 
0.2%
9959 14
 
0.2%
23981 11
 
0.1%
6224 11
 
0.1%
2490 10
 
0.1%
3735 10
 
0.1%
7469 9
 
0.1%
2001 7
 
0.1%
Other values (5663) 7894
88.8%
ValueCountFrequency (%)
1438.3 453
5.1%
1439 2
 
< 0.1%
1440 1
 
< 0.1%
1441 2
 
< 0.1%
1442 1
 
< 0.1%
1443 3
 
< 0.1%
1446 1
 
< 0.1%
1449 2
 
< 0.1%
1451 2
 
< 0.1%
1452 2
 
< 0.1%
ValueCountFrequency (%)
34516 449
5.1%
34496 1
 
< 0.1%
34458 1
 
< 0.1%
34427 1
 
< 0.1%
34198 1
 
< 0.1%
34173 1
 
< 0.1%
34162 1
 
< 0.1%
34140 1
 
< 0.1%
34058 1
 
< 0.1%
33996 1
 
< 0.1%

operaciones_ult_12m
Real number (ℝ)

High correlation 

Distinct125
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.998537
Minimum10
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size396.9 KiB
2025-05-13T17:31:44.245362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile28
Q145
median67
Q381
95-th percentile106
Maximum139
Range129
Interquartile range (IQR)36

Descriptive statistics

Standard deviation23.518192
Coefficient of variation (CV)0.36182648
Kurtosis-0.35713956
Mean64.998537
Median Absolute Deviation (MAD)17
Skewness0.15395846
Sum577577
Variance553.10534
MonotonicityNot monotonic
2025-05-13T17:31:44.292408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 185
 
2.1%
81 181
 
2.0%
71 180
 
2.0%
75 179
 
2.0%
78 173
 
1.9%
76 173
 
1.9%
77 172
 
1.9%
82 172
 
1.9%
70 166
 
1.9%
67 163
 
1.8%
Other values (115) 7142
80.4%
ValueCountFrequency (%)
10 3
 
< 0.1%
11 2
 
< 0.1%
12 4
 
< 0.1%
13 5
 
0.1%
14 8
 
0.1%
15 12
0.1%
16 12
0.1%
17 12
0.1%
18 21
0.2%
19 10
0.1%
ValueCountFrequency (%)
139 1
 
< 0.1%
138 1
 
< 0.1%
134 1
 
< 0.1%
131 6
0.1%
130 5
0.1%
129 5
0.1%
128 9
0.1%
127 10
0.1%
126 10
0.1%
125 12
0.1%

personas_a_cargo
Real number (ℝ)

Zeros 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3519019
Minimum0
Maximum5
Zeros787
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size396.9 KiB
2025-05-13T17:31:44.328038image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3007337
Coefficient of variation (CV)0.55305609
Kurtosis-0.68982408
Mean2.3519019
Median Absolute Deviation (MAD)1
Skewness-0.022212627
Sum20899
Variance1.691908
MonotonicityNot monotonic
2025-05-13T17:31:44.358474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 2390
26.9%
2 2319
26.1%
1 1615
18.2%
4 1399
15.7%
0 787
 
8.9%
5 376
 
4.2%
ValueCountFrequency (%)
0 787
 
8.9%
1 1615
18.2%
2 2319
26.1%
3 2390
26.9%
4 1399
15.7%
5 376
 
4.2%
ValueCountFrequency (%)
5 376
 
4.2%
4 1399
15.7%
3 2390
26.9%
2 2319
26.1%
1 1615
18.2%
0 787
 
8.9%

situacion_vivienda_ALQUILER
Boolean

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
True
5433 
False
3453 
ValueCountFrequency (%)
True 5433
61.1%
False 3453
38.9%
2025-05-13T17:31:44.380184image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

situacion_vivienda_HIPOTECA
Boolean

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
6081 
True
2805 
ValueCountFrequency (%)
False 6081
68.4%
True 2805
31.6%
2025-05-13T17:31:44.397110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

situacion_vivienda_OTROS
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
8851 
True
 
35
ValueCountFrequency (%)
False 8851
99.6%
True 35
 
0.4%
2025-05-13T17:31:44.418888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

situacion_vivienda_PROPIA
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
8273 
True
 
613
ValueCountFrequency (%)
False 8273
93.1%
True 613
 
6.9%
2025-05-13T17:31:44.434606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
6819 
True
2067 
ValueCountFrequency (%)
False 6819
76.7%
True 2067
 
23.3%
2025-05-13T17:31:44.451186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
7367 
True
1519 
ValueCountFrequency (%)
False 7367
82.9%
True 1519
 
17.1%
2025-05-13T17:31:44.470921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
8118 
True
 
768
ValueCountFrequency (%)
False 8118
91.4%
True 768
 
8.6%
2025-05-13T17:31:44.488035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
7424 
True
1462 
ValueCountFrequency (%)
False 7424
83.5%
True 1462
 
16.5%
2025-05-13T17:31:44.507309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
7430 
True
1456 
ValueCountFrequency (%)
False 7430
83.6%
True 1456
 
16.4%
2025-05-13T17:31:44.522292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
7272 
True
1614 
ValueCountFrequency (%)
False 7272
81.8%
True 1614
 
18.2%
2025-05-13T17:31:44.537894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

falta_pago_N
Boolean

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
True
7322 
False
1564 
ValueCountFrequency (%)
True 7322
82.4%
False 1564
 
17.6%
2025-05-13T17:31:44.555559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

falta_pago_Y
Boolean

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
7322 
True
1564 
ValueCountFrequency (%)
False 7322
82.4%
True 1564
 
17.6%
2025-05-13T17:31:44.571766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

estado_civil_CASADO
Boolean

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
4784 
True
4102 
ValueCountFrequency (%)
False 4784
53.8%
True 4102
46.2%
2025-05-13T17:31:44.588608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

estado_civil_DESCONOCIDO
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
8234 
True
 
652
ValueCountFrequency (%)
False 8234
92.7%
True 652
 
7.3%
2025-05-13T17:31:44.606826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

estado_civil_DIVORCIADO
Boolean

Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
8222 
True
 
664
ValueCountFrequency (%)
False 8222
92.5%
True 664
 
7.5%
2025-05-13T17:31:44.622829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

estado_civil_SOLTERO
Boolean

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
5418 
True
3468 
ValueCountFrequency (%)
False 5418
61.0%
True 3468
39.0%
2025-05-13T17:31:44.637276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

estado_cliente_ACTIVO
Boolean

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
True
7441 
False
1445 
ValueCountFrequency (%)
True 7441
83.7%
False 1445
 
16.3%
2025-05-13T17:31:44.653566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

estado_cliente_PASIVO
Boolean

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
7441 
True
1445 
ValueCountFrequency (%)
False 7441
83.7%
True 1445
 
16.3%
2025-05-13T17:31:44.669219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

genero_F
Boolean

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
True
4721 
False
4165 
ValueCountFrequency (%)
True 4721
53.1%
False 4165
46.9%
2025-05-13T17:31:44.687680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

genero_M
Boolean

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
4721 
True
4165 
ValueCountFrequency (%)
False 4721
53.1%
True 4165
46.9%
2025-05-13T17:31:44.704361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
7572 
True
1314 
ValueCountFrequency (%)
False 7572
85.2%
True 1314
 
14.8%
2025-05-13T17:31:44.720146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
8473 
True
 
413
ValueCountFrequency (%)
False 8473
95.4%
True 413
 
4.6%
2025-05-13T17:31:44.738168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
8425 
True
 
461
ValueCountFrequency (%)
False 8425
94.8%
True 461
 
5.2%
2025-05-13T17:31:44.753637image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
7124 
True
1762 
ValueCountFrequency (%)
False 7124
80.2%
True 1762
 
19.8%
2025-05-13T17:31:44.767694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
6143 
True
2743 
ValueCountFrequency (%)
False 6143
69.1%
True 2743
30.9%
2025-05-13T17:31:44.785566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size336.1 KiB
False
6693 
True
2193 
ValueCountFrequency (%)
False 6693
75.3%
True 2193
 
24.7%
2025-05-13T17:31:44.803227image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Interactions

2025-05-13T17:31:42.753100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:38.409967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.109781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.537041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.953202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.391775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.832250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.225297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.648158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.158305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.787515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:38.457653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.151109image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.578585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.996892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.443211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.875432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.269158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.689213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.196041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.827688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:38.507165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.197587image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.624935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.039493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.493901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.914317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.312011image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.730576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.239992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.867023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:38.544272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.237460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.662285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.078694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.538186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.951979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.352975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.770558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.276644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.911442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:38.587941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.286676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.711123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.123838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.580624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.994496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.401233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.820157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.320829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.947849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:38.630707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.331057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.752549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.167576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.624557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.033240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.442591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.864319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.361461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.982537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:38.945153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.369033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.790868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.214855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.661380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.066402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.480645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.936990image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.400699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:43.023528image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:38.989214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.409211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.828631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.259265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.706891image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.106218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.521605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.033323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.441526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:43.061532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.029248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.453410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.873601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.304473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.749248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.149660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.564607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.075323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.483566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:43.100679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.071399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.495828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:39.915543image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.345389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:40.792070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.189973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:41.607261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.117440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-13T17:31:42.714245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-13T17:31:45.041541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
antiguedad_clienteantiguedad_empleadoduracion_creditoestado_civil_CASADOestado_civil_DESCONOCIDOestado_civil_DIVORCIADOestado_civil_SOLTEROestado_cliente_ACTIVOestado_cliente_PASIVOestado_creditofalta_pago_Nfalta_pago_Ygastos_ult_12mgenero_Fgenero_Mid_clienteingresoslimite_credito_tcnivel_educativo_DESCONOCIDOnivel_educativo_POSGRADO_COMPLETOnivel_educativo_POSGRADO_INCOMPLETOnivel_educativo_SECUNDARIO_COMPLETOnivel_educativo_UNIVERSITARIO_COMPLETOnivel_educativo_UNIVERSITARIO_INCOMPLETOobjetivo_credito_EDUCACIÓNobjetivo_credito_INVERSIONESobjetivo_credito_MEJORAS_HOGARobjetivo_credito_PAGO_DEUDASobjetivo_credito_PERSONALobjetivo_credito_SALUDoperaciones_ult_12mpct_ingresopersonas_a_cargosituacion_vivienda_ALQUILERsituacion_vivienda_HIPOTECAsituacion_vivienda_OTROSsituacion_vivienda_PROPIAtasa_interes
antiguedad_cliente1.000-0.0010.0000.0480.0360.0400.0510.0320.0320.0250.0500.050-0.0250.0180.0180.1120.0140.0090.0000.0220.0290.0000.0230.0090.0000.0000.0130.0320.0160.000-0.0360.033-0.1150.0300.0330.0000.0000.009
antiguedad_empleado-0.0011.0000.0000.0110.0000.0000.0110.0230.0230.0970.0390.0390.0640.0000.0000.0030.187-0.0040.0000.0000.0000.0000.0310.0200.0550.0160.1010.0220.0210.0000.058-0.002-0.0020.2080.2040.0190.034-0.065
duracion_credito0.0000.0001.0000.0000.0000.0150.0000.0050.0050.0000.0000.0000.0000.0000.0000.0230.0000.0060.0080.0160.0000.0000.0320.0250.0000.0030.0090.0130.0210.0230.0000.0000.0160.0070.0120.0000.0000.017
estado_civil_CASADO0.0480.0110.0001.0000.2600.2630.7410.0240.0240.0420.0000.0000.1750.0000.0000.0000.0230.0630.0040.0000.0000.0000.0130.0140.0190.0140.0100.0000.0000.0000.1710.0560.0210.0170.0140.0080.0000.000
estado_civil_DESCONOCIDO0.0360.0000.0000.2601.0000.0780.2240.0000.0000.0190.0000.0000.0560.0110.0110.0140.0330.0170.0000.0000.0070.0000.0000.0000.0060.0000.0000.0000.0000.0000.0300.0000.0390.0130.0040.0000.0000.011
estado_civil_DIVORCIADO0.0400.0000.0150.2630.0781.0000.2270.0000.0000.0000.0000.0000.0390.0000.0000.0000.0000.0210.0160.0000.0000.0090.0000.0340.0000.0190.0000.0000.0000.0000.0390.0120.0300.0000.0000.0000.0000.026
estado_civil_SOLTERO0.0510.0110.0000.7410.2240.2271.0000.0170.0170.0320.0000.0000.1420.0130.0130.0000.0080.0330.0200.0000.0000.0000.0040.0000.0070.0000.0150.0000.0000.0060.1410.0380.0380.0220.0170.0000.0000.000
estado_cliente_ACTIVO0.0320.0230.0050.0240.0000.0000.0171.0001.0000.1170.5510.5510.3280.0310.0310.0480.0190.0350.0070.0310.0000.0060.0000.0000.0150.0000.0210.0000.0000.0000.4570.0400.0190.0510.0530.0000.0000.319
estado_cliente_PASIVO0.0320.0230.0050.0240.0000.0000.0171.0001.0000.1170.5510.5510.3280.0310.0310.0480.0190.0350.0070.0310.0000.0060.0000.0000.0150.0000.0210.0000.0000.0000.4570.0400.0190.0510.0530.0000.0000.319
estado_credito0.0250.0970.0000.0420.0190.0000.0320.1170.1171.0000.1910.1910.2320.0260.0260.0180.1170.0000.0000.0060.0090.0070.0000.0000.0960.0630.1110.0620.0140.0420.2400.4040.0000.2070.1650.0230.1010.384
falta_pago_N0.0500.0390.0000.0000.0000.0000.0000.5510.5510.1911.0001.0000.2610.0000.0000.0290.0000.0290.0000.0000.0000.0070.0050.0000.0140.0170.0490.0030.0000.0000.3230.0400.0160.0720.0740.0120.0000.561
falta_pago_Y0.0500.0390.0000.0000.0000.0000.0000.5510.5510.1911.0001.0000.2610.0000.0000.0290.0000.0290.0000.0000.0000.0070.0050.0000.0140.0170.0490.0030.0000.0000.3230.0400.0160.0720.0740.0120.0000.561
gastos_ult_12m-0.0250.0640.0000.1750.0560.0390.1420.3280.3280.2320.2610.2611.0000.2470.247-0.0000.1560.0270.0210.0120.0000.0430.0000.0000.0110.0120.0000.0000.0000.0000.879-0.0710.0590.1520.1810.0000.037-0.187
genero_F0.0180.0000.0000.0000.0110.0000.0130.0310.0310.0260.0000.0000.2471.0001.0000.0000.1130.4420.0000.0070.0000.0140.0000.0000.0090.0000.0000.0000.0000.0070.1670.0710.0000.0400.0410.0000.0000.000
genero_M0.0180.0000.0000.0000.0110.0000.0130.0310.0310.0260.0000.0000.2471.0001.0000.0000.1130.4420.0000.0070.0000.0140.0000.0000.0090.0000.0000.0000.0000.0070.1670.0710.0000.0400.0410.0000.0000.000
id_cliente0.1120.0030.0230.0000.0140.0000.0000.0480.0480.0180.0290.029-0.0000.0000.0001.000-0.0000.0150.0130.0000.0000.0090.0210.0000.0380.0000.0000.0000.0390.0240.006-0.007-0.0080.0310.0270.0000.000-0.026
ingresos0.0140.1870.0000.0230.0330.0000.0080.0190.0190.1170.0000.0000.1560.1130.113-0.0001.0000.0380.0150.0000.0000.0220.0000.0140.0000.0180.0580.0440.0200.0340.128-0.2930.0200.1560.1200.0000.086-0.027
limite_credito_tc0.009-0.0040.0060.0630.0170.0210.0330.0350.0350.0000.0290.0290.0270.4420.4420.0150.0381.0000.0000.0060.0000.0000.0000.0170.0210.0000.0000.0000.0060.0000.0300.0210.0490.0000.0230.0000.0100.003
nivel_educativo_DESCONOCIDO0.0000.0000.0080.0040.0000.0160.0200.0070.0070.0000.0000.0000.0210.0000.0000.0130.0150.0001.0000.0910.0960.2070.2780.2380.0000.0000.0230.0190.0000.0000.0000.0000.0290.0100.0000.0000.0140.000
nivel_educativo_POSGRADO_COMPLETO0.0220.0000.0160.0000.0000.0000.0000.0310.0310.0060.0000.0000.0120.0070.0070.0000.0000.0060.0911.0000.0490.1090.1470.1250.0000.0000.0180.0000.0000.0000.0350.0200.0000.0000.0000.0000.0000.012
nivel_educativo_POSGRADO_INCOMPLETO0.0290.0000.0000.0000.0070.0000.0000.0000.0000.0090.0000.0000.0000.0000.0000.0000.0000.0000.0960.0491.0000.1150.1550.1330.0000.0170.0040.0000.0060.0000.0000.0080.0130.0000.0000.0000.0040.000
nivel_educativo_SECUNDARIO_COMPLETO0.0000.0000.0000.0000.0000.0090.0000.0060.0060.0070.0070.0070.0430.0140.0140.0090.0220.0000.2070.1090.1151.0000.3320.2840.0000.0000.0000.0000.0000.0160.0000.0130.0110.0060.0000.0000.0000.010
nivel_educativo_UNIVERSITARIO_COMPLETO0.0230.0310.0320.0130.0000.0000.0040.0000.0000.0000.0050.0050.0000.0000.0000.0210.0000.0000.2780.1470.1550.3321.0000.3820.0010.0000.0000.0000.0000.0000.0000.0000.0000.0040.0000.0000.0110.000
nivel_educativo_UNIVERSITARIO_INCOMPLETO0.0090.0200.0250.0140.0000.0340.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0140.0170.2380.1250.1330.2840.3821.0000.0140.0000.0060.0000.0000.0060.0000.0000.0150.0040.0040.0000.0000.000
objetivo_credito_EDUCACIÓN0.0000.0550.0000.0190.0060.0000.0070.0150.0150.0960.0140.0140.0110.0090.0090.0380.0000.0210.0000.0000.0000.0000.0010.0141.0000.2490.1690.2440.2430.2590.0000.0000.0000.0000.0000.0000.0000.035
objetivo_credito_INVERSIONES0.0000.0160.0030.0140.0000.0190.0000.0000.0000.0630.0170.0170.0120.0000.0000.0000.0180.0000.0000.0000.0170.0000.0000.0000.2491.0000.1390.2010.2000.2130.0000.0280.0000.0450.0000.0000.0920.030
objetivo_credito_MEJORAS_HOGAR0.0130.1010.0090.0100.0000.0000.0150.0210.0210.1110.0490.0490.0000.0000.0000.0000.0580.0000.0230.0180.0040.0000.0000.0060.1690.1391.0000.1360.1350.1440.0190.0400.0230.0340.0270.0000.0080.047
objetivo_credito_PAGO_DEUDAS0.0320.0220.0130.0000.0000.0000.0000.0000.0000.0620.0030.0030.0000.0000.0000.0000.0440.0000.0190.0000.0000.0000.0000.0000.2440.2010.1361.0000.1960.2080.0110.0000.0130.0430.0000.0000.0920.015
objetivo_credito_PERSONAL0.0160.0210.0210.0000.0000.0000.0000.0000.0000.0140.0000.0000.0000.0000.0000.0390.0200.0060.0000.0000.0060.0000.0000.0000.2430.2000.1350.1961.0000.2080.0270.0120.0350.0170.0200.0000.0000.016
objetivo_credito_SALUD0.0000.0000.0230.0000.0000.0000.0060.0000.0000.0420.0000.0000.0000.0070.0070.0240.0340.0000.0000.0000.0000.0160.0000.0060.2590.2130.1440.2080.2081.0000.0000.0000.0000.0400.0380.0000.0000.026
operaciones_ult_12m-0.0360.0580.0000.1710.0300.0390.1410.4570.4570.2400.3230.3230.8790.1670.1670.0060.1280.0300.0000.0350.0000.0000.0000.0000.0000.0000.0190.0110.0270.0001.000-0.0820.0560.1370.1650.0000.037-0.219
pct_ingreso0.033-0.0020.0000.0560.0000.0120.0380.0400.0400.4040.0400.040-0.0710.0710.071-0.007-0.2930.0210.0000.0200.0080.0130.0000.0000.0000.0280.0400.0000.0120.000-0.0821.0000.0220.0510.0300.0270.0490.091
personas_a_cargo-0.115-0.0020.0160.0210.0390.0300.0380.0190.0190.0000.0160.0160.0590.0000.000-0.0080.0200.0490.0290.0000.0130.0110.0000.0150.0000.0000.0230.0130.0350.0000.0560.0221.0000.0000.0000.0000.014-0.010
situacion_vivienda_ALQUILER0.0300.2080.0070.0170.0130.0000.0220.0510.0510.2070.0720.0720.1520.0400.0400.0310.1560.0000.0100.0000.0000.0060.0040.0040.0000.0450.0340.0430.0170.0400.1370.0510.0001.0000.8520.0760.3410.144
situacion_vivienda_HIPOTECA0.0330.2040.0120.0140.0040.0000.0170.0530.0530.1650.0740.0740.1810.0410.0410.0270.1200.0230.0000.0000.0000.0000.0000.0040.0000.0000.0270.0000.0200.0380.1650.0300.0000.8521.0000.0390.1840.148
situacion_vivienda_OTROS0.0000.0190.0000.0080.0000.0000.0000.0000.0000.0230.0120.0120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0270.0000.0760.0391.0000.0080.028
situacion_vivienda_PROPIA0.0000.0340.0000.0000.0000.0000.0000.0000.0000.1010.0000.0000.0370.0000.0000.0000.0860.0100.0140.0000.0040.0000.0110.0000.0000.0920.0080.0920.0000.0000.0370.0490.0140.3410.1840.0081.0000.000
tasa_interes0.009-0.0650.0170.0000.0110.0260.0000.3190.3190.3840.5610.561-0.1870.0000.000-0.026-0.0270.0030.0000.0120.0000.0100.0000.0000.0350.0300.0470.0150.0160.026-0.2190.091-0.0100.1440.1480.0280.0001.000

Missing values

2025-05-13T17:31:43.183686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-13T17:31:43.302919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

id_clienteduracion_creditoantiguedad_empleadoingresospct_ingresotasa_interesestado_creditoantiguedad_clientegastos_ult_12mlimite_credito_tcoperaciones_ult_12mpersonas_a_cargosituacion_vivienda_ALQUILERsituacion_vivienda_HIPOTECAsituacion_vivienda_OTROSsituacion_vivienda_PROPIAobjetivo_credito_EDUCACIÓNobjetivo_credito_INVERSIONESobjetivo_credito_MEJORAS_HOGARobjetivo_credito_PAGO_DEUDASobjetivo_credito_PERSONALobjetivo_credito_SALUDfalta_pago_Nfalta_pago_Yestado_civil_CASADOestado_civil_DESCONOCIDOestado_civil_DIVORCIADOestado_civil_SOLTEROestado_cliente_ACTIVOestado_cliente_PASIVOgenero_Fgenero_Mnivel_educativo_DESCONOCIDOnivel_educativo_POSGRADO_COMPLETOnivel_educativo_POSGRADO_INCOMPLETOnivel_educativo_SECUNDARIO_COMPLETOnivel_educativo_UNIVERSITARIO_COMPLETOnivel_educativo_UNIVERSITARIO_INCOMPLETO
0768805383.025.096000.1011.14039.01144.012691.042.03.0FalseFalseFalseTrueTrueFalseFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseTrueFalseFalse
1713982108.024.0655000.5315.23136.01887.03418.020.03.0TrueFalseFalseFalseFalseFalseFalseFalseFalseTrueTrueFalseTrueFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseTrueFalse
2710821833.048.0544000.5514.27154.01314.09095.026.01.0TrueFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseTrueTrueFalseFalseFalseTrueFalseFalseTrueTrueFalseFalseFalseFalseFalse
3769911858.022.099000.257.14134.01171.03313.020.04.0FalseFalseFalseTrueFalseTrueFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseTrueFalseTrueFalseFalseFalseFalseTrueFalseFalse
4709106358.038.0771000.4512.42121.0816.04716.028.03.0TrueFalseFalseFalseTrueFalseFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseTrue
5810347208.045.0789560.4411.11146.01330.034516.031.04.0TrueFalseFalseFalseFalseFalseFalseFalseFalseTrueTrueFalseTrueFalseFalseFalseTrueFalseFalseTrueTrueFalseFalseFalseFalseFalse
6818906208.028.0830000.428.90127.01538.029081.036.00.0TrueFalseFalseFalseFalseFalseFalseFalseTrueFalseTrueFalseFalseTrueFalseFalseTrueFalseFalseTrueFalseFalseFalseTrueFalseFalse
7710930508.036.0100000.1614.74136.01350.022352.024.03.0FalseFalseFalseTrueFalseTrueFalseFalseFalseFalseTrueFalseFalseFalseFalseTrueTrueFalseFalseTrueFalseFalseFalseFalseFalseTrue
8719661558.046.0850000.4110.37136.01441.011656.032.02.0TrueFalseFalseFalseFalseTrueFalseFalseFalseFalseTrueFalseFalseFalseFalseTrueTrueFalseFalseTrueFalseFalseFalseFalseTrueFalse
9708790833.022.0100000.458.63131.01201.06748.042.05.0FalseFalseFalseTrueFalseFalseTrueFalseFalseFalseTrueFalseFalseTrueFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseTrue
id_clienteduracion_creditoantiguedad_empleadoingresospct_ingresotasa_interesestado_creditoantiguedad_clientegastos_ult_12mlimite_credito_tcoperaciones_ult_12mpersonas_a_cargosituacion_vivienda_ALQUILERsituacion_vivienda_HIPOTECAsituacion_vivienda_OTROSsituacion_vivienda_PROPIAobjetivo_credito_EDUCACIÓNobjetivo_credito_INVERSIONESobjetivo_credito_MEJORAS_HOGARobjetivo_credito_PAGO_DEUDASobjetivo_credito_PERSONALobjetivo_credito_SALUDfalta_pago_Nfalta_pago_Yestado_civil_CASADOestado_civil_DESCONOCIDOestado_civil_DIVORCIADOestado_civil_SOLTEROestado_cliente_ACTIVOestado_cliente_PASIVOgenero_Fgenero_Mnivel_educativo_DESCONOCIDOnivel_educativo_POSGRADO_COMPLETOnivel_educativo_POSGRADO_INCOMPLETOnivel_educativo_SECUNDARIO_COMPLETOnivel_educativo_UNIVERSITARIO_COMPLETOnivel_educativo_UNIVERSITARIO_INCOMPLETO
9764710841183.034.0650000.149.63034.015577.013940.0114.01.0FalseTrueFalseFalseTrueFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseTrueTrueFalseFalseTrueFalseFalseFalseTrueFalseFalse
9765713899383.024.0610000.167.51050.014596.03688.0120.01.0TrueFalseFalseFalseFalseTrueFalseFalseFalseFalseTrueFalseFalseFalseFalseTrueTrueFalseTrueFalseFalseFalseFalseFalseTrueFalse
9766772366833.032.0680000.147.14040.015476.04003.0117.02.0TrueFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseFalseFalseTrueTrueFalseFalseTrueFalseFalseFalseFalseTrueFalse
9767710638233.034.0586500.1416.49125.08764.04277.069.02.0TrueFalseFalseFalseFalseFalseFalseFalseFalseTrueTrueFalseFalseFalseTrueFalseFalseTrueFalseTrueTrueFalseFalseFalseFalseFalse
9768708564858.041.0690000.1415.33120.09338.034516.073.02.0TrueFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseFalseTrue
9769713755458.049.0650000.1111.66036.010310.09959.063.01.0FalseFalseFalseTrueFalseFalseFalseFalseTrueFalseFalseTrueFalseTrueFalseFalseFalseTrueFalseTrueTrueFalseFalseFalseFalseFalse
9770717406983.031.0430000.226.62036.08395.05281.062.02.0TrueFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseTrueFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseTrueFalse
9771716506083.020.0216000.447.49136.010291.05409.060.01.0TrueFalseFalseFalseTrueFalseFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseTrueFalseFalse
9772714337233.023.0220000.4413.16125.010294.010388.061.02.0TrueFalseFalseFalseTrueFalseFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseTrueFalse
9773716893683.048.0650040.0613.49047.06009.014657.053.03.0FalseTrueFalseFalseFalseFalseTrueFalseFalseFalseFalseTrueFalseFalseFalseTrueFalseTrueTrueFalseFalseFalseFalseFalseFalseTrue